Triple
T4527095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bletchingdon |
E106205
|
entity |
| Predicate | BletchingdonParkInstanceOf |
P57253
|
FINISHED |
| Object | country house |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: country house | Statement: [Bletchingdon, BletchingdonParkInstanceOf, country house]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BletchingdonParkInstanceOf Context triple: [Bletchingdon, BletchingdonParkInstanceOf, country house]
-
A.
hasBotanicalGarden
Indicates that one entity possesses, contains, or includes a botanical garden as part of its facilities or domain.
-
B.
withinGreenBelt
Indicates that one entity is located inside the designated green belt area associated with another entity or region.
-
C.
hasNatureDesignation
Indicates that something has been formally assigned a specific conservation, protection, or natural-area status or designation.
-
D.
nearNationalTrustProperty
Indicates that one entity is located close to, or in the vicinity of, a property owned or managed by the National Trust.
-
E.
isPartOfMetropolitanGreenBelt
Indicates that an area lies within a designated metropolitan green belt intended to limit urban sprawl and protect open land around a city.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57760f4481908f69ce82be63d7f8 |
completed | March 20, 2026, 2:19 p.m. |
| PD | Predicate disambiguation | batch_69bd521cf77c819083852de3094d1377 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56b3e4c88190a7ade3d0ed0ab606 |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:03 p.m.